With great pleasure we announce that Alexandre Becker Campos received two awards, the Young Scientist Award and Karl-Jörg Langenberg Award (Best Paper Award, second place) at the Kleinheubacher Tagung 2025 with his work entitled “A Snow Properties-Aware Deep Learning Framework for Large-Scale Estimation of Penetration Bias in TanDEM-X DEMs.”
This work demonstrates that the proposed physics-aware, AI-based approach can compensate biases in TanDEM-X digital elevation models (DEMs) with centimeter-level accuracy over ice sheets and can support glaciological applications such as snow depth estimation and mass balance of glaciers.
We congratulate Alexandre on his outstanding work and on these special awards!
With great pleasure we announce that Alexandre Becker Campos received two awards, the Young Scientist Award and Karl-Jörg Langenberg Award (Best Paper Award, second place) at the Kleinheubacher Tagung 2025 with his work entitled “A Snow Properties-Aware Deep Learning Framework for Large-Scale Estimation of Penetration Bias in TanDEM-X DEMs.”
This work demonstrates that the proposed physics-aware, AI-based approach can compensate biases in TanDEM-X digital elevation models (DEMs) with centimeter-level accuracy over ice sheets and can support glaciological applications such as snow depth estimation and mass balance of glaciers.
We congratulate Alexandre on his outstanding work and on these special awards!